World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
100
Citations
42072
World Ranking
369
National Ranking
202

Tarek Abdelzaher publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Tarek Abdelzaher sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 250 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 560 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 593 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Tarek Abdelzaher D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Tarek Abdelzaher sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 100 D-Index — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2019 - ACM Fellow For interdisciplinary contributions that bridge cyber-physical systems, social sensing, real-time computing, and control

Overview

Tarek Abdelzaher is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research primarily spans the field of Computer Science, with a significant focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computer Networks and Communications, and Sociology and Political Science.

The scientist's work has contributed to numerous topics including Complex Network Analysis Techniques, Opinion Dynamics and Social Influence, Advanced Neural Network Applications, Topic Modeling, Misinformation and Its Impacts, Anomaly Detection Techniques and Applications, and Advanced Graph Neural Networks.

Frequent publication venues for their research include:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Real-Time Systems
  • MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM)
  • Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Some recent papers authored by or associated with Tarek Abdelzaher are:

  • Machine Learning/Artificial Intelligence for Sensor Data Fusion-Opportunities and Challenges, 2021, IEEE Aerospace and Electronic Systems Magazine
  • New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges, 2020, IEEE Internet of Things Journal
  • GIobalFusion, 2020, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Revisiting Over-smoothing in Deep GCNs, 2020, arXiv (Cornell University)
  • Self-Contrastive Learning based Semi-Supervised Radio Modulation Classification, 2021, MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM)

Tarek Abdelzaher's frequent co-authors include:

  • Shengzhong Liu
  • Huajie Shao
  • Dachun Sun
  • Ruijie Wang
  • Shuochao Yao

In 2019, Tarek Abdelzaher was recognized as an ACM Fellow for interdisciplinary contributions bridging cyber-physical systems, social sensing, real-time computing, and control.

Best Publications

  • Range-free localization schemes for large scale sensor networks

    Tian He;Chengdu Huang;Brian M. Blum;John A. Stankovic

  • SPEED: a stateless protocol for real-time communication in sensor networks

    Tian He;J.A. Stankovic;Chenyang Lu;T. Abdelzaher

  • Energy-efficient surveillance system using wireless sensor networks

    Tian He;Sudha Krishnamurthy;John A. Stankovic;Tarek Abdelzaher

  • Real Time Scheduling Theory: A Historical Perspective

    Lui Sha;Tarek Abdelzaher;Karl-Erik Årzén;Anton Cervin

  • Performance guarantees for Web server end-systems: a control-theoretical approach

    T.F. Abdelzaher;K.G. Shin;N. Bhatti

  • RAP: a real-time communication architecture for large-scale wireless sensor networks

    Chenyang Lu;B.M. Blum;T.F. Abdelzaher;J.A. Stankovic

  • VigilNet: An integrated sensor network system for energy-efficient surveillance

    Tian He;Sudha Krishnamurthy;Liqian Luo;Ting Yan

  • DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing

    Shuochao Yao;Shaohan Hu;Yiran Zhao;Aston Zhang

  • Real-time communication and coordination in embedded sensor networks

    J.A. Stankovic;T.E. Abdelzaher;Chenyang Lu;Lui Sha

  • PDA: Privacy-Preserving Data Aggregation in Wireless Sensor Networks

    Wenbo He;Xue Liu;Hoang Nguyen;K. Nahrstedt

  • Control-theoretic techniques and thermal-RC modeling for accurate and localized dynamic thermal management

    K. Skadron;T. Abdelzaher;M.R. Stan

  • Minimum-energy asynchronous dissemination to mobile sinks in wireless sensor networks

    Hyung Seok Kim;Tarek F. Abdelzaher;Wook Hyun Kwon

  • MMSN: Multi-Frequency Media Access Control for Wireless Sensor Networks

    G. Zhou;C. Huang;T. Yan;T. He

  • Real-time Power-Aware Routing in Sensor Networks

    O. Chipara;Z. He;Guoling Xing;Qin Chen

  • Range-free localization schemes in large scale sensor network

    Tian He;Chia-mao Huang;Brian M. Blum;John Stankovic

  • Towards optimal sleep scheduling in sensor networks for rare-event detection

    Qing Cao;Tarek Abdelzaher;Tian He;John Stankovic

  • GreenGPS: a participatory sensing fuel-efficient maps application

    Raghu K. Ganti;Nam Pham;Hossein Ahmadi;Saurabh Nangia

  • On truth discovery in social sensing: a maximum likelihood estimation approach

    Dong Wang;Lance Kaplan;Hieu Le;Tarek Abdelzaher

  • A spatiotemporal communication protocol for wireless sensor networks

    T. He;J.A. Stankovic;T.F. Abdelzaher;C. Lu

  • EnviroTrack: towards an environmental computing paradigm for distributed sensor networks

    T. Abdelzaher;B. Blum;Q. Cao;Y. Chen

  • An Energy-Efficient Surveillance System Using Wireless Sensor Networks

    Tian He;Sudha Krishnamurthy;John A. Stankovic;Tarek F. Abdelzaher

Frequent Co-Authors

John A. Stankovic
John A. Stankovic University of Virginia
Lance Kaplan
Lance Kaplan United States Army Research Laboratory
Lu Su
Lu Su Purdue University West Lafayette
Dong Wang
Dong Wang Peking University
Tian He
Tian He University of Minnesota
Qing Cao
Qing Cao University of Tennessee at Knoxville
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Chenyang Lu
Chenyang Lu Washington University in St. Louis
Ramesh Govindan
Ramesh Govindan University of Southern California
Amotz Bar-Noy
Amotz Bar-Noy City University of New York

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